Text & Content Analysis

Context: entity (4 million pounds)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
4 million pounds
Window
Last 30 days
Articles
1
From
2026-03-10 21:16:39+00
To
2026-03-10 21:16:39+00
Range
2026-02-12 15:39:48.394944+00 β†’ 2026-03-14 15:39:48.394944+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
4 million pounds MONEY 1 πŸ“Š πŸ” 🧲
abby abazorius PERSON 1 πŸ“Š πŸ” 🧲
about eight CARDINAL 1 πŸ“Š πŸ” 🧲
adam silver PERSON 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
alex carpenter PERSON 1 πŸ“Š πŸ” 🧲
analytics sports WORK_OF_ART 1 πŸ“Š πŸ” 🧲
ariana andonian PERSON 1 πŸ“Š πŸ” 🧲
arsenal fc PERSON 1 πŸ“Š πŸ” 🧲
baseball abstract WORK_OF_ART 1 πŸ“Š πŸ” 🧲
benham PERSON 1 πŸ“Š πŸ” 🧲
bennett PERSON 1 πŸ“Š πŸ” 🧲
bill james PERSON 1 πŸ“Š πŸ” 🧲
bird ORG 1 πŸ“Š πŸ” 🧲
boston GPE 1 πŸ“Š πŸ” 🧲
branch rickey PERSON 1 πŸ“Š πŸ” 🧲
breanna stewart PERSON 1 πŸ“Š πŸ” 🧲
brentford GPE 1 πŸ“Š πŸ” 🧲
brentford fc PERSON 1 πŸ“Š πŸ” 🧲
brighton PERSON 1 πŸ“Š πŸ” 🧲
brighton fc PERSON 1 πŸ“Š πŸ” 🧲
brooklyn dodgers ORG 1 πŸ“Š πŸ” 🧲
canada GPE 1 πŸ“Š πŸ” 🧲
carpenter PERSON 1 πŸ“Š πŸ” 🧲
crystal palace fc ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
news.mit.edu 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4600 πŸ“Š 🧲
Government 0.2600 πŸ“Š 🧲
Technology 0.1200 πŸ“Š 🧲
Friends and Family 0.1000 πŸ“Š 🧲
Environment, Climate 0.0300 πŸ“Š 🧲
Civil Unrest, Conflict 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-10 21:16:39+00 Sports news.mit.edu 2026 MIT Sloan Sports Analytics Conference shows why data make a difference Analyze Peter Dizikes | MIT News 😐 neutral 0.1202